Accessing Accumulated Knowledge in Online Community Question Answering Services
Online Community Question Answering Service (CQAs) provides an online platform for people to seek answers from the public. It is a problem solving method using public intelligent, which also known as crowd sourcing. Each response presented in CQAs is generated by public. Most of this user generated...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/13243/7/IKC2015%20-%20Accessing%20accumulated%20knowledge%20in%20Online%20Community%20Question%20Answering%20Services%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/13243/ |
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| Summary: | Online Community Question Answering Service (CQAs) provides an online platform for people to seek answers from the public. It is a problem solving method using public intelligent, which also known as crowd sourcing. Each response presented in CQAs is generated by public. Most of this user generated responses are aimed to answer the question posted in the CQAs. This means the repository for CQAs is a huge knowledge pool on the web. This knowledge can serves as knowledge source for intelligent application such as Question Answering. There are two major problems in harvesting this knowledge: first problem is gaining access to the question and answers in the CQAs, second problem is identifying question and answers that content crucial or useful information for other knowledge process. This paper presents an Information Retrieval framework to query and access to the knowledge accumulated in the CQAs. This framework includes a method to query a selected CQAs and a method to filter out quality content from the retrieved data using semantic relatedness. The framework is showcased through an automatic Question Answering application. The application obtained candidate answers from selected CQAs using the proposed framework before determine the final answers through answer ranking method. |
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